Cahyadi Setiawan, Aris Munandar, Tri Wandi Januar, Muhammad Deffry, Nabilah Firdha Khairunnisa, Zidan Furqon, Ika Muti Rahmah, Muhammad Wahyu Wardana
West Java frequently experienced landslide disasters as a result of tectonic plate movements throughout the area. Historical data indicate that landslides were the most frequent natural disaster in West Java Province, causing significant property damage and resulting in numerous casualties. This study aims to detect landslides using Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) for disaster management in West Java Province. The method utilizes SBAS-InSAR method to detect potential landslide occurrences in all 27 regencies and cities of West Java. The landslide detection process uses Line of Sight (LOS) data to observe ground elevation changes based on imagery from the Sentinel-1 satellite. These data are then compared with landslide incident records from the past three years (2022-2024) to improve accuracy. The results show that Sentinel-1 image processing using the SBAS method indicates that landslide events are predominantly concentrated in the western region of West Java Province. In contrast, the northern and southern regions exhibit a noticeably lower frequency of landslide occurrences. This condition is influenced by the relatively flat terrain and coastal characteristics of the northern and southern areas, unlike the central and western parts of the province which are dominated by highlands and mountainous regions. A combination of factors such as steep topography, high rainfall intensity, and extensive land use changes in these elevated areas contributes to their higher landslide susceptibility. The spatial pattern of landslide-prone areas identified through the SBAS-InSAR analysis shows strong agreement with empirical landslide data recorded by the Regional Disaster Mitigation Agency (BPBD) in West Java Province during the same period (2022-2024). This consistency demonstrates that satellite-based SBAS-InSAR detection is highly compatible with ground-based disaster records and can be effectively used to detection landslide in the West Java Province. © Published under licence by IOP Publishing Ltd.
Geography Study Program, Faculty of Social Sciences and Law, Universitas Negeri Jakarta, Jakarta, Indonesia; Geography Education Study Program, Faculty of Social Sciences and Law, Universitas Negeri Jakarta, Jakarta, Indonesia
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